| Large language models surpass human experts in predicting neuroscience results X Luo, A Rechardt, G Sun, KK Nejad, F Yáñez, B Yilmaz, K Lee, ... Nature human behaviour 9 (2), 305-315, 2025 | 198 | 2025 |
| Cultural alignment in large language models: An explanatory analysis based on hofstede’s cultural dimensions R Masoud, Z Liu, M Ferianc, PC Treleaven, MR Rodrigues Proceedings of the 31st International Conference on Computational …, 2025 | 116 | 2025 |
| A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA H Fan, S Liu, M Ferianc, HC Ng, Z Que, S Liu, X Niu, W Luk 2018 International Conference on Field-Programmable Technology (FPT), 14-21, 2018 | 102 | 2018 |
| F-E3D: FPGA-based acceleration of an efficient 3D convolutional neural network for human action recognition H Fan, C Luo, C Zeng, M Ferianc, Z Que, S Liu, X Niu, W Luk 2019 IEEE 30th international conference on Application-specific Systems …, 2019 | 56 | 2019 |
| FPGA-based acceleration for Bayesian convolutional neural networks H Fan, M Ferianc, Z Que, S Liu, X Niu, MRD Rodrigues, W Luk IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 54 | 2022 |
| Toward full-stack acceleration of deep convolutional neural networks on FPGAs S Liu, H Fan, M Ferianc, X Niu, H Shi, W Luk IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3974-3987, 2021 | 52 | 2021 |
| High-performance FPGA-based accelerator for Bayesian neural networks H Fan, M Ferianc, M Rodrigues, H Zhou, X Niu, W Luk 2021 58th ACM/IEEE Design Automation Conference (DAC), 1063-1068, 2021 | 39 | 2021 |
| Static block floating-point quantization for convolutional neural networks on FPGA H Fan, G Wang, M Ferianc, X Niu, W Luk 2019 International Conference on Field-Programmable Technology (ICFPT), 28-35, 2019 | 29 | 2019 |
| Algorithm and hardware co-design for reconfigurable cnn accelerator H Fan, M Ferianc, Z Que, H Li, S Liu, X Niu, W Luk 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 250-255, 2022 | 25 | 2022 |
| Improving performance estimation for FPGA-based accelerators for convolutional neural networks M Ferianc, H Fan, RSW Chu, J Stano, W Luk International Symposium on Applied Reconfigurable Computing, 3-13, 2020 | 24 | 2020 |
| Smart laser Sintering: Deep Learning-Powered powder bed fusion 3D printing in precision medicine Y Abdalla, M Ferianc, A Awad, J Kim, M Elbadawi, AW Basit, M Orlu, ... International Journal of Pharmaceutics 661, 124440, 2024 | 20 | 2024 |
| Optimizing Bayesian recurrent neural networks on an FPGA-based accelerator M Ferianc, Z Que, H Fan, W Luk, M Rodrigues 2021 International conference on field-programmable technology (ICFPT), 1-10, 2021 | 19 | 2021 |
| On the effects of quantisation on model uncertainty in bayesian neural networks M Ferianc, P Maji, M Mattina, M Rodrigues Uncertainty in Artificial Intelligence, 929-938, 2021 | 19 | 2021 |
| Accelerating Bayesian neural networks via algorithmic and hardware optimizations H Fan, M Ferianc, Z Que, X Niu, M Rodrigues, W Luk IEEE Transactions on Parallel and Distributed Systems 33 (12), 3387-3399, 2022 | 17 | 2022 |
| Improving performance estimation for design space exploration for convolutional neural network accelerators M Ferianc, H Fan, D Manocha, H Zhou, S Liu, X Niu, W Luk Electronics 10 (4), 520, 2021 | 16 | 2021 |
| Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks M Ferianc, O Bohdal, T Hospedales, MRD Rodrigues Transactions on Machine Learning Research, 2024 | 14* | 2024 |
| Optimizing FPGA-based CNN accelerator using differentiable neural architecture search H Fan, M Ferianc, S Liu, Z Que, X Niu, W Luk 2020 IEEE 38th International Conference on Computer Design (ICCD), 465-468, 2020 | 14 | 2020 |
| Enabling fast uncertainty estimation: accelerating bayesian transformers via algorithmic and hardware optimizations H Fan, M Ferianc, W Luk Proceedings of the 59th ACM/IEEE Design Automation Conference, 325-330, 2022 | 13 | 2022 |
| MIMMO: Multi-input massive multi-output neural network M Ferianc, M Rodrigues Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| VINNAS: Variational Inference-based Neural Network Architecture Search M Ferianc, H Fan, M Rodrigues arXiv preprint arXiv:2007.06103, 2020 | 9 | 2020 |
Miguel RodriguesProfessor of Information Theory and Processing, University College LondonVerified email at ucl.ac.uk
